Are you interested in using satellite imagery for remote sensing applications? We’re excited to share a content code, “VENUS”, that will give you access to a demonstration for generating simulated imagery based on the VENuS (Vegetation and Environment monitoring on a New MicroSatellite) mission, a collaboration between CNES and ISA.
This code grants you access to a workspace that simulates vegetation and environmental monitoring data captured by the VENuS mission’s super-spectral microsatellite platform. You can customize the simulation by adjusting parameters such as season, visibility, and surface reflectance, making it ideal for:
- Developing and testing computer vision algorithms for remote sensing data analysis
- Exploring data processing workflows using synthetic data
Getting Started
- Sign up for a free account on Rendered.ai and use the content code “VENUS” during registration: https://rendered.ai/
- For more information on using content codes within Rendered.ai, visit: https://support.rendered.ai/rd/content-codes
About this DIRSIG
This demonstration was created using our capability to containerize simulation models into synthetic data channels for use in our cloud platform. In this case, we also reconfigured existing implementation around the Rochester Institute of Technology DIRS Laboratory’s DIRSIG simulator.
A graph showing how to configure a basic industrial scene with Rendered.ai and DIRSIG
DIRSIG is a physically accurate simulation system for remote sensing imagery across a broad section of the detectable electromagnetic spectrum. DIRSIG works with 3D modeled environments that have scientifically profiled materials for generating accurate spectral ‘reflections.’
Through work with Rendered.ai, DIRSIG has been enhanced to handle sophisticated satellite and drone vehicle movement patterns. DIRSIG channels also work with atmospheric models built with MODTRAN from Spectral Sciences which can be provided by a subscriber or built by the Rendered.ai Customer Success team.
Sample datasets provided with the VENUS content code workspace
Learn More about the VENuS Mission
- European Space Agency (ESA) overview: https://www.esa.int/Science_Exploration/Space_Science/Venus_Express
- CNES website: https://www.eoportal.org/satellite-missions/venus
We’re always looking for new satellite missions to simulate. If you have a specific mission in mind, let us know!
